
Master prompt engineering with chatgpt across six practical sections, from basics and crafting prompts to advanced frameworks, context engineering, real-world demonstrations, and chat tools for efficient ai use.
Explore the ChatGPT sign-up and user interface to navigate the workspace, access tools like web search and canvas, and tailor settings for prompts and workflows.
Explore what prompts are and how they drive ChatGPT, identify the five components—instruction, primary content, example, cue, and supporting content, and learn prompt types.
Explore three prompting frameworks—RICEE, AAA, and PROMPT—to communicate with ChatGPT clearly, learn when to use each, and apply quick demos to data tasks and professional writing.
Assign a role to ChatGPT to tailor tone, vocabulary, and reasoning, then see how a senior data analyst or friendly English teacher guides responses across learning and professional tasks.
Master few-shot and multi-step prompting to control ChatGPT output, learn your style, and build structured, high-quality results across emails, summaries, reports, and code tasks.
Compare prompting frameworks— Ricey, Triple A, and the prompt framework— and learn how to select them by goal, task complexity, and required output control.
Learn how prompts drive ChatGPT to solve daily problems, from problem solving with prompts for learning technical content writing to comparing resources and addressing fears of water and relationship challenges.
Learn to generate and test code with ChatGPT by building a two-player tic-tac-toe game in HTML, CSS, and JavaScript, testing in CodePen and evolving a mobile-responsive site in VS Code.
Using ChatGPT for analytics with dummy and real data, create csv files, analyze trends with charts, and explore data science job market and salary trends.
Learn to generate charts and infographics with ChatGPT, using Dall-E and built-in charting features, and master effective prompting to specify chart type, data, and design style.
Learn to generate banners, paintings, and Ghibli-style images with ChatGPT by crafting clear prompts that specify purpose, mood, color schemes, and content, even when connected to Dall-E.
Edit images with ChatGPT by uploading a photo and giving clear, layered prompts to adjust background, colors, lighting, style, and mood, from photos to digital illustrations.
Learn to generate story-based images with prompts, turn pencil sketches into colorized full portraits, extract and summarize text from images, and manage edits in a visual library.
Learn to generate clear, structured meeting minutes from raw notes and transcripts using ChatGPT, capturing the meeting date, agenda, decisions, actions with names and deadlines, and the next meeting date.
Learn how context—the background, audience, purpose, tone, and prior information—shapes ChatGPT outputs, and how memory, personalization, files, and projects, plus prompting frameworks like RACI and few-shot, keep context consistent.
Master personalization in ChatGPT by using prompts to control tone, formality, and audience, with demonstrations of custom instructions and tailored responses.
Leverage ChatGPT’s memory feature to remember information across chats, test recall in new sessions, and manage or delete saved memories for consistent, clutter-free interactions.
Learn to work with local and online files in ChatGPT by connecting cloud storage like Google Drive or OneDrive and uploading PDFs for quick summaries or rewriting.
Understand ChatGPT’s ‘Projects’ feature and its benefits for workflow optimization.
Create and manage project folders to organize chats, files, and instructions efficiently.
Upload and categorize files for easy access and AI-powered analysis.
Set custom instructions to personalize ChatGPT’s responses based on specific project needs.
Apply ‘Projects’ to real-world scenarios, including task management, research, and content creation.
Enhance productivity by structuring AI interactions for better organization and efficiency.
Learn to create and customize ChatGPT with custom GPTs for specific use cases like writing or travel, configure prompts, upload files, connect APIs, and publish or share in GPT store.
Leverage auto suggestions and prompt history navigation to write prompts faster, then share a chat or start a temporary chat for controlled collaboration and privacy.
Learn to switch between ChatGPT models within the same chat, choosing GPT-3.5 for speed and GPT-4 for accuracy, and understand how model changes affect depth, tool access, and performance.
Master dictate and voice modes to talk to ChatGPT without typing. Draft prompts and emails, prep interview questions, and discuss marketing strategy, ROI, and KPIs through interactive, voice-led conversations.
Discover the future of ChatGPT: GPT four improvements, cross-tech integrations (AR, VR, speech, vision), and expansion into healthcare, education, journalism, and finance with ethics and privacy in focus.
This course contains the use of artificial intelligence
Get work out of ChatGPT, not just answers.
Most people type a question into ChatGPT, get something generic back, and conclude the tool is overrated. The gap between a generic answer and a useful one is almost always the prompt and the context behind it. That is what this course teaches.
This masterclass takes you from ChatGPT fundamentals to professional prompt engineering and context engineering. No coding and no AI background required.
How the course works
39 video lectures, approximately a four-hour course, which you may finish in a weekend. Every concept is followed by a live demonstration inside ChatGPT, so you see the prompt, the response, and the fix when the response is not good enough. Lectures are short and grouped into six sections, so you can work through it in short sittings and come back later for one specific technique.
What the course covers
Prompt fundamentals: how prompts work, prompt types, and what separates a prompt that works from one that does not
Prompt crafting: advanced strategies, best practices, tone and structure control, creative use and brainstorming
Prompting frameworks: CRISPE, RICCE, AAA, PROMPT, role-based prompting, chain of thought, few-shot and multi-step prompting, plus how to pick the right one
Context engineering: personalization, memory, projects, custom GPTs, and your own local and online files, so answers come from your material instead of general knowledge, with fewer hallucinations
Work and deliverables: the Work tab and when to use it instead of Chat, documents, spreadsheets, and presentations created inside ChatGPT, writing blocks, and code blocks
Code, data, and problem-solving: code generation, analytics, charts, and structured problem-solving with prompts
Images and text extraction: banners and artwork, image editing with precise prompts, image sets for a story, and pulling text out of an image
Automation and continuity: Scheduled tasks that run your prompts on a cadence, and Cloud Work conversations that continue across your devices
The interface in depth: the Add menu, web search, the model picker and intelligence levels across the GPT-5.6 models, dictation and voice mode, prompt history, temporary chats, and ChatGPT on mobile
What you will be able to do
Choose a framework and structure a prompt for the task in front of you. Set context so ChatGPT works from your files, your role, and your standards. Produce a document, a spreadsheet, or a deck without leaving ChatGPT. Hand recurring work to a scheduled task. Recognise when an answer is weak and know which lever to pull.
Who it is for
Working professionals in marketing, HR, sales, operations, analytics, and software teams who use ChatGPT already but suspect they are getting a fraction of what it can do. It also suits complete beginners, since the course starts at sign-up and the interface.
Enroll now, start with the fundamentals, and use the frameworks on something you actually have to deliver this week.